CN113592659A - Position monitoring method and device, electronic equipment and storage medium - Google Patents
Position monitoring method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the field of monitoring, and discloses a position monitoring method, which comprises the following steps: extracting the features of the account basic data to obtain account feature data, and configuring an early warning interval of an original account balance in the account feature data; dividing data dimensions of the account characteristic data to generate account outflow data and account inflow data; matching the investment products of the account number outflow data with the investment income of the account inflow data, calculating the net exposure of the successfully matched investment products and investment income, and updating the balance of the original account according to the net exposure to obtain the updated account balance; if the balance of the updating account is in the early warning interval, updating the investment product or the investment income, and returning to the step of matching the investment product with the investment income; and if the updated account balance is not in the early warning interval, returning the updated account balance to the user. In addition, the invention also relates to a block chain technology, and the account basic data can be stored in the block chain. The invention can improve the monitoring efficiency of position monitoring.
Description
Technical Field
The present invention relates to the field of monitoring, and in particular, to a position monitoring method and apparatus, an electronic device, and a computer-readable storage medium.
Background
The capital position is called the position for short, and is a trading intention expressed by buying or selling, and the position can be the amount of capital owned or borrowed by an investor and can be simply known as the balance of an original account. The position monitoring can realize the fund understanding of property accounts such as trusts and banks, better control the use of the fund, and provide powerful support for improving the use efficiency of the product fund such as the trusts and the banks and reducing the fund redundancy of the property accounts.
The traditional position monitoring is realized by depending on the settlement of a daytime transaction system, namely, the change state of the position of an account is calculated according to the inflow and outflow fund ratio of the account every day, but because the multiple ends of actual service products are changed, the fund data is huge, the fund state of the position of the account needs to be monitored all the time, so that a large amount of manpower is consumed to monitor and calculate the position of the account all the time, and the monitoring efficiency of the position of the account is not high.
Disclosure of Invention
The invention provides a position monitoring method and device, electronic equipment and a computer readable storage medium, and mainly aims to improve the position monitoring efficiency.
In order to achieve the above object, the present invention provides a position monitoring method, including:
acquiring account basic data, performing feature extraction on the account basic data to obtain account feature data, and configuring an early warning interval of an original account balance in the account feature data;
dividing the data dimension of the account characteristic data, and identifying account outflow data and account inflow data in the account characteristic data according to the data dimension;
matching investment products in the account outflow data with investment profits in the account inflow data, calculating net exposure of the successfully matched investment products and investment profits, and updating an original account balance in the account characteristic data according to the net exposure to obtain an updated account balance;
judging whether the balance of the updated account is in the early warning interval or not;
if the updated account balance is in the early warning interval, identifying the interval range of the updated account balance in the early warning interval by using a liquidity transfer model, updating the investment product or the investment income by using the liquidity transfer model according to the interval range, and returning to execute the step of matching the investment product in the account outflow data with the investment income in the account inflow data;
and if the updated account balance is not in the early warning interval, returning the updated account balance to the user.
Optionally, the performing feature extraction on the account basic data to obtain feature account data includes:
calculating an information weight value of each basic data in the account basic data;
screening out basic data with the information weight value larger than a preset weight value from the account basic data;
and generating characteristic account data according to the screened basic data.
Optionally, the calculating an information weight value of each piece of basic data in the account basic data includes:
calculating an information weight value of each basic data in the account basic data by using the following formula:
wherein, CiInformation weight values representing the underlying data, EiIndicating the ith base in the account base,
represents the feature vector covariance of the ith base in the account base, and trace () represents the spatial filter function.
Optionally, the dividing the data dimension of the account feature data includes:
acquiring a characteristic field of each characteristic data in the account characteristic data, and identifying the data transaction type of the characteristic field;
dividing the data attribute of each feature data in the account feature data according to the data transaction type;
and identifying the data dimension of the account characteristic data according to the data attribute.
Optionally, the matching investment products in the account number outflow data and return on investment in the account number inflow data includes:
identifying the product period of the investment product in the account number outflow data and the investment time of the investment income in the account number inflow data;
and according to the product period and the investment time, performing matching of the investment product and the investment income.
Optionally, said performing matching of said investment product and said investment return according to said product terms and investment time comprises:
calculating the time difference between the product deadline and the investment time;
if the time difference does not meet a preset time interval, the matching of the investment product and the investment income fails;
and if the time difference does not meet the preset time interval, successfully matching the investment product with the investment income.
Optionally, the updating the investment product or the investment income by using the liquidity transfer model according to the interval range includes:
if the interval range is in a first early warning interval of the early warning intervals, updating the investment income in the account inflow data by using the liquidity transfer model;
and if the interval range is in a second early warning interval of the early warning interval, updating the investment products in the account outflow data by using the mobility transfer model.
In order to solve the above problems, the present invention also provides a position monitoring apparatus, comprising:
the data preprocessing module is used for acquiring account basic data, performing feature extraction on the account basic data to obtain account feature data, and configuring an early warning interval of an original account balance in the account feature data;
the data dimension dividing module is used for dividing the data dimension of the account characteristic data and identifying account outflow data and account inflow data in the account characteristic data according to the data dimension;
an account balance updating module, configured to match investment products in the account outflow data with investment proceeds in the account inflow data, calculate a net exposure of the investment products and the investment proceeds that are successfully matched, and update an original account balance in the account characteristic data according to the net exposure to obtain an updated account balance;
the account balance judging module is used for judging whether the updated account balance is in the early warning interval or not;
a data updating module, configured to identify an interval range of the updated account balance in the early warning interval by using a mobility transfer model when the updated account balance is in the early warning interval, update the investment product or the investment income by using the mobility transfer model according to the interval range, and return to perform a step of matching the investment product in the account outflow data with the investment income in the account inflow data;
and the account balance returning module is used for returning the updated account balance to the user when the updated account balance is not in the early warning interval.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to implement the position monitoring method described above.
In order to solve the above problem, the present invention also provides a computer-readable storage medium in which at least one computer program is stored, the at least one computer program being executed by a processor in an electronic device to implement the position monitoring method described above.
The method comprises the steps of firstly, extracting features of account basic data to obtain account feature data, screening out key data in the account basic data, improving the processing speed of subsequent data, inquiring an early warning interval of an original account balance in the account feature data, generating account outflow data and account inflow data according to the data dimension of the account feature data, classifying the account feature data in an inflow and outflow mode, and identifying the account position flowing condition of the account feature data, so that the subsequent account position is monitored; secondly, by matching the investment product in the account outflow data with the investment income in the account inflow data, the embodiment of the invention can match the time of the investment product with the investment income to reasonably invest the investment income into the investment product, so that the balance of the primary account reaches the maximum income, calculate the net exposure of the investment product and the investment income which are successfully matched, update the balance of the primary account according to the net exposure to obtain the updated account balance, can predict the fund cycle income condition of the investment product and the investment income, can well know the periodic change state of the account outflow data and the account inflow data along with the time, thereby well monitoring the change condition of the balance of the primary account along with the time to make the disbursement and income distribution of the balance of the primary account, excessive manual work is avoided to participate in the calculation of the account outflow data and the account inflow data, and the monitoring efficiency of the account outflow data and the account inflow data is improved; further, the embodiment of the present invention determines whether the updated account balance is in the early warning interval; and when the updated account balance is in the early warning original account balance, updating the investment product or the investment income by using a liquidity transfer model, returning to execute the step of matching the investment product in the account outflow data with the investment income in the account inflow data, and if the updated account balance is not in the early warning interval, returning the updated account balance to the user, so that whether the investment product and the investment income need to be adjusted or not can be identified, and the account position of the original account balance can be better monitored. Therefore, the position monitoring method, the position monitoring device, the electronic equipment and the computer readable storage medium can improve the position monitoring efficiency.
Drawings
FIG. 1 is a schematic flow chart illustrating a position monitoring method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a position monitoring device according to an embodiment of the present invention;
fig. 3 is a schematic internal structural diagram of an electronic device implementing a position monitoring method according to an embodiment of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the application provides a position monitoring method. The execution subject of the position monitoring method includes, but is not limited to, at least one of electronic devices such as a server and a terminal, which can be configured to execute the method provided by the embodiments of the present application. In other words, the position monitoring method may be performed by software or hardware installed in the terminal device or the server device, and the software may be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Fig. 1 is a schematic flow chart of a position monitoring method according to an embodiment of the present invention. In an embodiment of the present invention, the position monitoring method includes:
s1, obtaining account basic data, performing feature extraction on the account basic data to obtain account feature data, and configuring an early warning interval of an original account balance in the account feature data.
In the embodiment of the present invention, the account basic data refers to account data set by a user in financial industries such as banking or trust, and includes: financial data, user data, trust data, and the like. Further, in an optional embodiment of the present invention, the account basic data is collected by one or a combination of the following methods: the method comprises the steps of firstly, inquiring by accessing an account background database; the second method comprises the following steps: acquiring an account by a business person through a line; and thirdly, collecting the account page through the point burying control.
Further, it should be understood that there may be some useless data in the account basic data, such as the gender, age, and the like of the user, and therefore, the embodiment of the present invention screens out the key data in the account basic data by performing feature extraction on the account basic data, so as to improve the processing speed of subsequent data.
As an embodiment of the present invention, the extracting the features of the account basic data to obtain the feature account data includes: calculating an information weight value of each basic data in the account basic data, screening out basic data with the information weight value larger than a preset weight value from the account basic data, and generating characteristic account data according to the screened basic data. The information weight value refers to the importance degree of each basic data in the account basic data.
In an alternative embodiment, the information weight value of each basic data in the account basic data is calculated by using the following formula:
wherein, CiInformation weight values representing the underlying data, EiIndicating the ith base in the account base,
represents the feature vector covariance of the ith base in the account base, and trace () represents the spatial filter function.
In an optional embodiment, the preset weight value is set to 0.88, and may also be set according to an actual service scenario.
Further, the embodiment of the present invention configures an early warning interval of an original account balance in the account characteristic data to monitor the account position change state of the account characteristic data in real time, so as to perform dynamic management on the account position.
The original account balance refers to an asset from which investment funds and return funds are removed in the account characteristic data, and for example, the account characteristic data of the user a includes: the sum of original funds is 100 ten thousand, the investment financing product is 20 ten thousand, the stock is purchased for 50 ten thousand, the profit of the financing product is 10 ten thousand, and the loss of the stock is 20 ten thousand, then the balance of the original account of the user A is inquired to be 30 ten thousand.
Further, the early warning interval of the original account balance may be set to be less than 70% of the original account balance and greater than 30% of the original account balance, or may be set according to an actual service scenario, for example, the configuration of the early warning interval on the original account balance of the user a may be: less than 30 ten thousand 70%, (21 ten thousand) and more than 30 ten thousand 130%, (39 ten thousand).
Further, to ensure privacy and security of the account basic data, the account basic data may also be stored in a blockchain node.
And S2, dividing the data dimension of the account characteristic data, and identifying account outflow data and account inflow data in the account characteristic data according to the data dimension.
It should be understood that data with different dimension information, such as fund outflow data, fund inflow data, fund real estate data, and the like, may exist in the account feature data, and therefore, in the embodiment of the present invention, inflow and outflow classification is performed on the account feature data by dividing the data dimension of the account feature data, and an account position flowing situation of the account feature data is identified, so that monitoring of a subsequent account position is achieved.
As an embodiment of the present invention, the dividing the data dimension of the account feature data includes: the method comprises the steps of obtaining a characteristic field of each characteristic datum in the account characteristic datum, identifying a data transaction type of the characteristic field, dividing a data attribute of each characteristic datum in the account characteristic datum according to the data transaction type, and identifying a data dimension of the account characteristic datum according to the data attribute.
Wherein, the characteristic field refers to a data identifier of the characteristic data, such as an ID, for characterizing identity information of the characteristic data, the data transaction type is for characterizing a data destination of the characteristic data, such as a product purchase type and a financial return type, the data attribute is for characterizing a product characteristic of a specific transaction type of the characteristic data, such as a security investment, the account inflow data is data pointing to an account inflow, such as financial return data and investment income data, and the account outflow data refers to data flowing out through an account, such as investment data and purchasing financial product data.
Further, the identifying account outflow data and account inflow data in the account characteristic data according to the data dimension includes: according to the data dimension, identifying the data type of each feature data in the account feature data, taking the feature data with the data type being an inflow type as account inflow data, and taking the feature data with the data type being an outflow type as account outflow data.
S3, matching investment products in the account outflow data with investment profits in the account inflow data, calculating net exposure of the investment products and the investment profits which are successfully matched, and updating the original account balance in the account characteristic data according to the net exposure to obtain an updated account balance.
In the embodiment of the present invention, the investment product refers to a data entity of the account outflow data, such as an investment product of fund, national debt, bond, foreign exchange, stock, fried fund, and the like, and the investment benefit refers to a product benefit in the account inflow data, such as a financial benefit, a trust benefit, and the like. Further, the embodiment of the invention matches the investment product and the investment income to match the investment product and the investment income in time, so that the investment income can be reasonably put into the investment product, and the balance of the original account reaches the maximum income.
In an optional embodiment of the present invention, the account number is an investment product of data outflow, and the investment income of the account number inflow data can be queried through a query statement, such as an SQL statement.
As an embodiment of the present invention, the matching the investment product in the account number outflow data and the investment income in the account number inflow data includes: and identifying the product period of the investment product in the account number outflow data and the investment time of the investment income in the account number inflow data, and performing matching of the investment product and the investment income according to the product period and the investment time.
Wherein the product term refers to an investment term required for investing the investment product, and the investment time refers to a fund use term of the investment profit, and further, the performing the matching of the investment product and the investment profit according to the product term and the investment time comprises: and calculating the time difference between the product deadline and the investment time, wherein if the time difference does not meet the preset time interval, the matching between the investment product and the investment income fails, and if the time difference does not meet the preset time interval, the matching between the investment product and the investment income succeeds. Optionally, the preset time interval may be set to be one month, or may be set according to an actual service scenario.
Illustratively, there are 100 ten thousand investment earnings, the investment time of the investment earnings is 1 year, and four investment products of national bond, foreign exchange and stock, wherein the investment durations of the national bond, foreign exchange and stock are half a year, a year and a half and two years respectively, and the time difference between the investment duration and the investment time is calculated as: -half year, 0, half year and one year, if the preset time interval is one month, then the half year, 0 satisfies the time interval, that is, the national bond, bond can be the investment product of the investment income, otherwise the half year and one year do not satisfy the time interval, that is, the foreign exchange, stock can not be the investment product of the investment income.
Furthermore, the embodiment of the invention predicts the capital cycle income condition of the investment product and the investment income by calculating the net exposure of the investment product and the investment income which are successfully matched, and can well know the cycle change state of the account outflow data and the account inflow data along with time, thereby well monitoring the change condition of the balance of the primary account along with time to make the expenditure and income distribution of the balance compliance of the primary account, avoiding excessive manual participation in the calculation of the account outflow data and the account inflow data, and improving the monitoring efficiency of the account outflow data and the account inflow data.
The net exposure is product income of the investment product, namely a difference value between total assets of the investment product and the investment income, and if the total assets of the investment product are 100 ten thousand and the investment income is 100 ten thousand, the net exposure is 20 ten thousand.
Further, the method updates the original account balance according to the net exposure to identify the occurrence state of the original account balance, so as to redistribute investment products and investment income, wherein the original account balance is updated according to the net exposure, that is, the net exposure is added to the original account balance to generate the updated account balance.
And S4, judging whether the updated account balance is in the early warning interval.
In the embodiment of the invention, whether the investment product and the investment income need to be adjusted is identified by judging whether the updated account balance is in the early warning interval, so that the account position of the original account balance is better monitored.
And if the updated account balance is in the early warning interval, executing S5, identifying the interval range of the updated account balance in the early warning interval by using a liquidity transfer model, updating the investment product or the investment income by using the liquidity transfer model according to the interval range, and returning to execute the step of matching the investment product in the account outflow data with the investment income in the account inflow data.
When the updated account balance is in the early warning interval, the updated account balance is in a state of being lower than negative income or high income, namely in a state of being seriously damaged or high-efficiency income, so that the embodiment of the invention updates the account outflow data and the account inflow data through the liquidity transfer model so as to re-pull the investment products of the account outflow data and the investment income of the account inflow data, realizes the re-matching of the investment products and the investment income, and ensures that the updated account balance is in a safe interval. The interval range comprises a first early warning interval and a second early warning interval, the first early warning interval is an interval in which the updated account balance is smaller than the original account balance, and the second early warning interval is an interval in which the updated account balance is larger than the original account balance.
As an embodiment of the present invention, the interval range of the updated account balance in the early warning interval is implemented by a balance interval identification script pre-constructed in the liquidity transfer model, and the balance interval identification script may be compiled by a JavaScript scripting language.
As an embodiment of the present invention, the updating the investment product or the investment profit by using the liquidity transfer model according to the interval scope includes: if the interval range is in a first early warning interval of the early warning interval, updating the investment product by using the liquidity transfer model; and if the interval range is in a second early warning interval of the early warning intervals, updating the investment income by using the mobility transfer model.
It can be understood that, when the interval range is in the first early warning interval of the early warning intervals, the investment income representing the investment product is lost, so that the embodiment of the invention re-matches the investment product according to the liquidity transfer model to reduce the account risk; when the interval range is in a second early warning interval of the early warning intervals, the investment income representing the investment product is profitable, so that the investment income is matched again according to the liquidity transfer model to further improve the account income.
And if the updated account balance is not in the early warning interval, executing S6 and returning the updated account balance to the user.
When the updated account balance is not in the early warning interval, the updated account balance is in a profit state, and therefore the updated account balance is returned to the user.
The method comprises the steps of firstly, extracting features of account basic data to obtain account feature data, screening out key data in the account basic data, improving the processing speed of subsequent data, inquiring an early warning interval of an original account balance in the account feature data, generating account outflow data and account inflow data according to the data dimension of the account feature data, classifying the account feature data in an inflow and outflow mode, and identifying the account position flowing condition of the account feature data, so that the subsequent account position is monitored; secondly, by matching the investment product in the account outflow data with the investment income in the account inflow data, the embodiment of the invention can match the time of the investment product with the investment income to reasonably invest the investment income into the investment product, so that the balance of the primary account reaches the maximum income, calculate the net exposure of the investment product and the investment income which are successfully matched, update the balance of the primary account according to the net exposure to obtain the updated account balance, can predict the fund cycle income condition of the investment product and the investment income, can well know the periodic change state of the account outflow data and the account inflow data along with the time, thereby well monitoring the change condition of the balance of the primary account along with the time to make the disbursement and income distribution of the balance of the primary account, excessive manual work is avoided to participate in the calculation of the account outflow data and the account inflow data, and the monitoring efficiency of the account outflow data and the account inflow data is improved; further, the embodiment of the present invention determines whether the updated account balance is in the early warning interval; and when the updated account balance is in the early warning original account balance, updating the investment product or the investment income by using a liquidity transfer model, returning to execute the step of matching the investment product in the account outflow data with the investment income in the account inflow data, and if the updated account balance is not in the early warning interval, returning the updated account balance to the user, so that whether the investment product and the investment income need to be adjusted or not can be identified, and the account position of the original account balance can be better monitored. Therefore, the position monitoring method provided by the invention can improve the position monitoring efficiency.
Fig. 2 is a functional block diagram of the position monitoring device according to the present invention.
The position monitoring apparatus 100 according to the present invention may be installed in an electronic device. According to the realized functions, the position monitoring device may include a data preprocessing module 101, a data dimension dividing module 102, an account balance updating module 103, an account balance judging module 10, a data updating module 105, and an account balance returning module 106. A module according to the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the data preprocessing module 101 is configured to obtain account basic data, perform feature extraction on the account basic data to obtain account feature data, and configure an early warning interval of an original account balance in the account feature data;
the data dimension dividing module 102 is configured to divide the data dimension of the account feature data, and identify account outflow data and account inflow data in the account feature data according to the data dimension;
the account balance updating module 103 is configured to match an investment product in the account outflow data with an investment profit in the account inflow data, calculate a net exposure of the investment product and the investment profit that are successfully matched, and update an original account balance in the account characteristic data according to the net exposure to obtain an updated account balance;
the account balance judging module 104 is configured to judge whether the updated account balance is in the early warning interval;
the data updating module 105 is configured to, when the updated account balance is in the early warning interval, identify an interval range of the updated account balance in the early warning interval by using a mobility transfer model, update the investment product or the investment income by using the mobility transfer model according to the interval range, and return to perform a step of matching the investment product in the account outflow data with the investment income in the account inflow data;
the account balance returning module 106 is configured to return the updated account balance to the user when the updated account balance is not in the early warning interval.
In detail, when the modules in the position monitoring apparatus 100 according to the embodiment of the present invention are used, the same technical means as the position monitoring method described in fig. 1 above are adopted, and the same technical effects can be produced, which is not described herein again.
Fig. 3 is a schematic structural diagram of an electronic device 1 for implementing the position monitoring method according to the present invention.
The electronic device 1 may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program, such as a position monitoring program, stored in the memory 11 and executable on the processor 10.
In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, a combination of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device 1, connects various components of the electronic device 1 by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (e.g., a position monitoring program, etc.) stored in the memory 11 and calling data stored in the memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as codes of a position monitoring program, etc., but also to temporarily store data that has been output or is to be output.
The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
The communication interface 13 is used for communication between the electronic device 1 and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices 1. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
Fig. 3 shows only the electronic device 1 with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The position monitoring program stored in the memory 11 of the electronic device 1 is a combination of computer programs, which when executed in the processor 10, enable:
acquiring account basic data, performing feature extraction on the account basic data to obtain account feature data, and configuring an early warning interval of an original account balance in the account feature data;
dividing the data dimension of the account characteristic data, and identifying account outflow data and account inflow data in the account characteristic data according to the data dimension;
matching investment products in the account outflow data with investment profits in the account inflow data, calculating net exposure of the successfully matched investment products and investment profits, and updating an original account balance in the account characteristic data according to the net exposure to obtain an updated account balance;
judging whether the balance of the updated account is in the early warning interval or not;
if the updated account balance is in the early warning interval, identifying the interval range of the updated account balance in the early warning interval by using a liquidity transfer model, updating the investment product or the investment income by using the liquidity transfer model according to the interval range, and returning to execute the step of matching the investment product in the account outflow data with the investment income in the account inflow data;
and if the updated account balance is not in the early warning interval, returning the updated account balance to the user.
Specifically, the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1 for a specific implementation method of the computer program, which is not described herein again.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a non-volatile computer-readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device 1, may implement:
acquiring account basic data, performing feature extraction on the account basic data to obtain account feature data, and configuring an early warning interval of an original account balance in the account feature data;
dividing the data dimension of the account characteristic data, and identifying account outflow data and account inflow data in the account characteristic data according to the data dimension;
matching investment products in the account outflow data with investment profits in the account inflow data, calculating net exposure of the successfully matched investment products and investment profits, and updating an original account balance in the account characteristic data according to the net exposure to obtain an updated account balance;
judging whether the balance of the updated account is in the early warning interval or not;
if the updated account balance is in the early warning interval, identifying the interval range of the updated account balance in the early warning interval by using a liquidity transfer model, updating the investment product or the investment income by using the liquidity transfer model according to the interval range, and returning to execute the step of matching the investment product in the account outflow data with the investment income in the account inflow data;
and if the updated account balance is not in the early warning interval, returning the updated account balance to the user.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A position monitoring method, the method comprising:
acquiring account basic data, performing feature extraction on the account basic data to obtain account feature data, and configuring an early warning interval of an original account balance in the account feature data;
dividing the data dimension of the account characteristic data, and identifying account outflow data and account inflow data in the account characteristic data according to the data dimension;
matching investment products in the account outflow data with investment profits in the account inflow data, calculating net exposure of the successfully matched investment products and investment profits, and updating an original account balance in the account characteristic data according to the net exposure to obtain an updated account balance;
judging whether the balance of the updated account is in the early warning interval or not;
if the updated account balance is in the early warning interval, identifying the interval range of the updated account balance in the early warning interval by using a liquidity transfer model, updating the investment product or the investment income by using the liquidity transfer model according to the interval range, and returning to execute the step of matching the investment product in the account outflow data with the investment income in the account inflow data;
and if the updated account balance is not in the early warning interval, returning the updated account balance to the user.
2. The position monitoring method of claim 1, wherein the performing feature extraction on the account base data to obtain feature account data comprises:
calculating an information weight value of each basic data in the account basic data;
screening out basic data with the information weight value larger than a preset weight value from the account basic data;
and generating characteristic account data according to the screened basic data.
3. The position monitoring method of claim 2, wherein said calculating an information weight value for each of said account base data comprises:
calculating an information weight value of each basic data in the account basic data by using the following formula:
wherein, CiInformation weight values representing the underlying data, EiIndicating the ith base in the account base,
represents the feature vector covariance of the ith base in the account base, and trace () represents the spatial filter function.
4. The position monitoring method of claim 1, wherein the dividing the data dimension of the account characteristic data comprises:
acquiring a characteristic field of each characteristic data in the account characteristic data, and identifying the data transaction type of the characteristic field;
dividing the data attribute of each feature data in the account feature data according to the data transaction type;
and identifying the data dimension of the account characteristic data according to the data attribute.
5. The position monitoring method of claim 1, wherein said matching investment products in said account outflow data to return on investment in said account inflow data comprises:
identifying the product period of the investment product in the account number outflow data and the investment time of the investment income in the account number inflow data;
and according to the product period and the investment time, performing matching of the investment product and the investment income.
6. The position monitoring method as set forth in claim 5, wherein said performing matching of said investment product and said investment return based on said product terms and investment time comprises:
calculating the time difference between the product deadline and the investment time;
if the time difference does not meet a preset time interval, the matching of the investment product and the investment income fails;
and if the time difference does not meet the preset time interval, successfully matching the investment product with the investment income.
7. The position monitoring method according to any one of claims 1 to 6, wherein said updating the investment product or the investment return using the liquidity transfer model according to the interval coverage comprises:
if the interval range is in a first early warning interval of the early warning intervals, updating the investment income in the account inflow data by using the liquidity transfer model;
and if the interval range is in a second early warning interval of the early warning interval, updating the investment products in the account outflow data by using the mobility transfer model.
8. A position monitoring device, the device comprising:
the data preprocessing module is used for acquiring account basic data, performing feature extraction on the account basic data to obtain account feature data, and configuring an early warning interval of an original account balance in the account feature data;
the data dimension dividing module is used for dividing the data dimension of the account characteristic data and identifying account outflow data and account inflow data in the account characteristic data according to the data dimension;
an account balance updating module, configured to match investment products in the account outflow data with investment proceeds in the account inflow data, calculate a net exposure of the investment products and the investment proceeds that are successfully matched, and update an original account balance in the account characteristic data according to the net exposure to obtain an updated account balance;
the account balance judging module is used for judging whether the updated account balance is in the early warning interval or not;
a data updating module, configured to identify an interval range of the updated account balance in the early warning interval by using a mobility transfer model when the updated account balance is in the early warning interval, update the investment product or the investment income by using the mobility transfer model according to the interval range, and return to perform a step of matching the investment product in the account outflow data with the investment income in the account inflow data;
and the account balance returning module is used for returning the updated account balance to the user when the updated account balance is not in the early warning interval.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a position monitoring method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the position monitoring method according to any one of claims 1 to 7.
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